Metadata-Version: 2.1
Name: sqlmesh
Version: 0.2.2
Home-page: https://github.com/TobikoData/sqlmesh
Author: TobikoData Inc.
Author-email: engineering@tobikodata.com
License: Apache License 2.0
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: SQL
Classifier: Programming Language :: Python :: 3 :: Only
Description-Content-Type: text/markdown
License-File: LICENSE
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![SQLMesh logo](sqlmesh.svg)

SQLMesh is a DataOps framework that brings the benefits of DevOps to data teams. It enables data scientists, analysts, and engineers to efficiently run and deploy data transformations written in SQL or Python.

For more infromation, check out the [website](https://sqlmesh.com) and [documentation](https://sqlmesh.readthedocs.io/en/latest/).

## Geting Started
Install SQLMesh through [pypi](https://pypi.org/project/sqlmesh/) by running:

```pip install sqlmesh```

Follow the [tutorial](https://sqlmesh.readthedocs.io/en/latest/quick_start/) to learn how to use SQLMesh.

## Join our community
We'd love to join you on your data journey. Connect with us in the following ways:

* Join the [Tobiko Slack community](https://join.slack.com/t/tobiko-data/shared_invite/zt-1je7o3xhd-C7~GuZTj0a8xz_uQbTJjHg) to ask questions, or just to say hi!
* File an issue on our [GitHub](https://github.com/TobikoData/sqlmesh/issues/new).
* Send us an email at [hello@tobikodata.com](hello@tobikodata.com) with your questions or feedback.

## Contribution
Contributions in the form of issues or pull requests are greatly appreciated. [Read more](https://sqlmesh.readthedocs.io/en/latest/quick_start/development/) about how to develop for SQLMesh.
